- Sep 3012:30 PMDoctoral Dissertation Defense of Sarah Todd
- Sep 302:00 PMANSC PhD Defense: Divya JosephANSC PhD Defense: Divya JosephDate: September 30, 2025Time: 2:00 PMLocation: WITE 115 (York Room)
- Oct 21:00 PMDoctoral Dissertation Oral Defense of Sydney ClementsDistributing Equity: An Analysis of Existing Food Hub Distribution Models in Connecticut A dissertation for the Geography PhD program.
- Oct 22:00 PMDoctoral Dissertation Oral Defense of Meaghan L. Delcourt
- Oct 1011:00 AMDoctoral Dissertation Oral Defense of James DiCairanoAbstract The current media landscape enables individuals to seek out content in distinct ways, including newspapers, social media, and websites. When consuming said content, these individuals may be exposed to persuasive messaging, which seeks to change or reinforce their attitudes on a given topic. Furthermore, their evaluation of candidates, issues, and ideology may be affected as well as their knowledge and participation. Therefore, with Information Processing Theory and Media Dependency Theory as theoretical frameworks, this study sought to understand how reliance on 27 media sources affected individuals during the 2024 presidential election. Participants were recruited through Prolific, completed a Qualtrics-hosted online survey, and randomly assigned to one of two experimental treatments involving tweets from Kamala Harris or Donald Trump. Source reliance revolved around bias and length with the reliance on left- and right-leaning media affecting participation but none impacting knowledge. Issue importance and voting were predicted by right leaning and short-form media, while three tweets from Kamala Harris led to greater agreement. This study's findings further our understanding of how digital and traditional media affect the actions and thinking of voters. The behaviors, feelings, and thoughts of voters as well as theoretical implications are discussed, while areas for future research are provided.
- Oct 232:00 PMDoctoral Dissertation Oral Defense of Daniel KraemerDissertation title: "Context is Everything: Advancing Earthquake Social Vulnerability Models Through Identifying Local and Hazard-Specific Drivers." Doctoral field of study: Geography. Department: Geography, Sustainability, Community and Urban Studies (GSCU).
- Dec 110:00 AMDoctoral Dissertation Oral Defense of Miu TsujiThe doctoral dissertation oral defense of Miu Tsuji, Ph.D. candidate in the Department of Chemistry (Physical Chemistry) at the University of Connecticut, will be held on December 1, 2025. The dissertation, "Chiral Bridge Effects on Radical Pair Lifetimes in D–χ–A Systems", examines how incorporating chiral BINOL bridges into donor–bridge–acceptor molecules influences electron transfer and spin dynamics. The study demonstrates the formation of long-lived radical pairs at room temperature and provides valuable insight into the role of chirality in regulating radical pair recombination and its potential connection to Chiral-Induced Spin Selectivity (CISS). This research contributes to a deeper understanding of electron transfer in chiral molecular systems and highlights potential applications in spintronics and quantum information science. Faculty, students, and members of the UConn community are welcome to attend.
- Dec 110:00 AMDoctoral Dissertation Oral Defense of Miu TsujiThe doctoral dissertation oral defense of Miu Tsuji, Ph.D. candidate in the Department of Chemistry (Physical Chemistry) at the University of Connecticut, will be held on December 1, 2025. The dissertation, "Chiral Bridge Effects on Radical Pair Lifetimes in D–χ–A Systems", examines how incorporating chiral BINOL bridges into donor–bridge–acceptor molecules influences electron transfer and spin dynamics. The study demonstrates the formation of long-lived radical pairs at room temperature and provides valuable insight into the role of chirality in regulating radical pair recombination and its potential connection to Chiral-Induced Spin Selectivity (CISS). This research contributes to a deeper understanding of electron transfer in chiral molecular systems and highlights potential applications in spintronics and quantum information science. Faculty, students, and members of the UConn community are welcome to attend.